## Y parameters

— Either manually insert the Y parameters or just type the Q point of the 2N4957 pnp transistor and let the software compute them for you.

— Open the Y parameters plots with Matplotlib and read the precise values hovering them with the cursor.

— Compute calculations such as βA and v_{out}/v_{s} and many more instantaneously, right after the data upon which they depend is filled.

— Provide, when the system is unconditionally stable, the optimum source and load impedances and print the maximum gains achievable.

## S parameters

— Either manually insert the S parameters or just type the Q point of the MRF571 or MRF572 transistors and let the software compute them for you.

— If provided on the datasheet, also fills noise parameters such as NF_{MIN}, Γ_{S,ON}, R_{n}.

— Compute calculations such as G_{A}, G_{P}, G_{T} instantaneously.

— Provide, when the system is unconditionally stable, the optimum source and load impedances and instantly show the maximum gains achievable.

— Visualize the Smith Plot in a tidy and clean fashion.

— Automatically compute, when possible, the intersection between the equi-G_{A} and the equi-NF circumferences.

## Matching networks

### Lumped parameters

— *Open Notebook here *

— Determine some matching parameters both using lumped elements (L-section) and microstrip matching.

— Retrieve data from the respective plots (which can be visualized using Matplotlib) and compute the actual length of the microstrip right away.

### Distributed parameters

### λ/4 impedance transformer

### Stubs

## Smith Chart

— Insert values to be shown on the Smith Chart either as impedances referred to Z_{0} or as Γ.

— Visualize the corrisponding λ value on the Smith Chart λ scale of the points.